Architect (India Office)

Lead and manage technical teams to design, develop, and enhance WMS solutions, integrations, and warehouse automation systems. Oversee end-to-end delivery across sprints and releases, ensuring alignment with business and supply chain objectives. Drive system integrations (WMS, ERP/OMS, microservices) and optimize Azure-based data pipelines for analytics and operational efficiency. Support modernization, troubleshoot complex issues, and provide technical leadership, training, and continuous improvement initiatives.

• Lead technical teams in designing, developing, and implementing WMS solutions, integrations, and warehouse automation capabilities.
• Oversee delivery across Sprints and Releases, ensuring high‑quality execution aligned with product, supply chain, and business goals.
• Lead development resources, assign work, and coordinate workflows supporting WMS enhancements.
• Partner with product owners and operations teams to define requirements, technical designs, testing plans, and defect resolution.
• Architect and maintain integrations between WMS, ERP/OMS systems, microservices, and IBM MQ messaging.
• Design and support real‑time and batch interfaces enabling accurate inventory visibility and efficient order processing.
• Develop and optimize Azure-based data pipelines (Data Factory, Databricks) to support analytics and warehouse insights.
• Troubleshoot complex WMS and integration issues, ensuring minimal operational downtime.
• Drive modernization of current WMS architecture to Azure Kubernetes.
• Analyze system KPIs and recommend improvements to enhance warehouse throughput, accuracy, and reliability.
• Provide training, documentation, and technical guidance to teams and warehouse personnel.

Qualifications

• 10+ years of experience in a lead development role
• 15+ years of experience in Java, Spring MVC – Framework, SQL Server, Git/Git Hub, Web Services/API, SQL
• 5+ years of experience in Warehouse Management Systems (WMS)
• 5+ years of experience in WebSphere, IBM MQ, Drools, Azure Kubernetes Service
• 5 years of leadership as a creative, competent team builder
• Strong working knowledge of Azure Data Factory and Databricks
• Ability to multi-task and reprioritize in a dynamic environment
• Skills in programming and systems analysis
• Solid analytical skills - able to solve problems & interpret instructions in any form
• Project management expertise in planning and completing large and small projects
• Strong verbal, written, analytical and interpersonal skills
• Experience in Digital Transformation projects

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